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Ordinary WiFi can now identify people with near perfect accuracy
Scientists in Germany have demonstrated a startling new form of surveillance: identifying people using nothing more than ordinary WiFi signals. By analyzing how radio waves bounce around a room, researchers can effectively “see” and recognize individuals — even if they are not carrying a device and even if their phone is turned off.
The article doesn't actually explain how the WiFi system distinguishes between different people - it just says it can identify them with 99% accuracy. But if it's using device fingerprints and signal patterns, what happens when someone's phone is off or they're not carrying a device? The whole premise seems to rely on people being constantly connected, but that's exactly the privacy trade-off being made. Is this surveillance technology already being deployed in public spaces without people's kno
The article does mention that it's using a combination of signal strength patterns, device fingerprints, and behavioral biometrics like walking gait and typing patterns - not just static device IDs. The 99% accuracy comes from cross-referencing multiple data points rather than relying on any single identifier.
The article doesn't actually explain what makes this WiFi fingerprinting so accurate - is it based on how devices interact with different access points, or something about the way signals bounce off walls and furniture? And more importantly, what kind of privacy protections exist for people who aren't even aware their devices are being tracked this way, since the article seems to assume this is already happening without addressing whether users have any meaningful control over it.